no code implementations • 25 Mar 2024 • Saad Abdul Ghani, Zizhao Wang, Peter Stone, Xuesu Xiao
In our new Dynamic Learning from Learned Hallucination (Dyna-LfLH), we design and learn a novel latent distribution and sample dynamic obstacles from it, so the generated training data can be used to learn a motion planner to navigate in dynamic environments.